• Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives • Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services. • Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3 • Integrate and assemble large, complex data sets that meet a broad range of business requirements • Read, extract, transform, stage and load data to selected tools and frameworks as required and requested • Customizing and managing integration tools, databases, warehouses, and analytical systems • Process unstructured data into a form suitable for analysis and assist in analysis of the processed data • Working directly with the technology and engineering teams to integrate data processing and business objectives • Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design • Create software architecture and design documentation for the supported solutions and overall best practices and patterns • Support team with technical planning, design, and code reviews including peer code reviews • Provide Architecture and Technical Knowledge training and support for the solution groups • Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA. • Stay current with emerging trends, making recommendations as needed to help the organization innovate • Proactively planning complex projects from scope/timeline development through technical design and execution. • Demonstrate leadership through mentoring other team members.